Draw Scatterplots & Determine Correlation (Positive & Negative Correlation of Data) - [8-9-1]

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In this lesson, you will learn what positive and negative correlation of data is and how to draw a scatterplot and determine correlation. This is necessary when calculating the correlation coefficient of data in statistics. When we perform statistical analysis, we often want to know how one variable is correlated with another. If it is a positive correlation, then the independent variable and dependent variable both increase. If it is negative correlation, then both random variables run opposite to each other. That is, one increases while the other decreases. If there is no correlation, then the data looks like noise with no noticeable pattern.

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What would you conclude from this hypothesis result using beta value and correlation value.
i) There is a positive relationship between compensation and
rider's retention. Beta Value : -0.379 & Pearson : -0.289
ii) There is a positive relationship between communication and rider's retention. Beta Value : -0.159 & Pearson : 0.110
There is no positive relationship between communication and rider's retention. Beta Value: -0.115 & Pearson : -0.136

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Do you need to leave a break from the origin x axis

[@Ajperry007]

I get everything. However, is it a positive correlation if x decreases, and y also decreases? I think it is but to graph it wouldn’t you have to put the x and y values in descending order?

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